{"id":"W3016610625","doi":"10.5260/chara.21.4.27","title":"Films on Demand Master Academic Video Collection","year":2020,"lang":"en","type":"article","venue":"The Charleston Advisor","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Subject (documents); Entertainment; Corporation; Variety (cybernetics); Sociology; Advertising; Multimedia; Media studies; Business; World Wide Web; Computer science; Visual arts; History; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001894742,0.0001288592,0.0002571751,0.00006090468,0.0001514709,0.0000183492,0.0001750767,0.00007074015,0.0005382667],"category_scores_gemma":[0.0002076074,0.0001034767,0.00007812398,0.000212366,0.00005135782,0.00006920814,0.00005724685,0.0002638535,0.002695652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002780518,"about_ca_system_score_gemma":0.000007957097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001247071,"about_ca_topic_score_gemma":0.00000404731,"domain_scores_codex":[0.9991761,0.0000132507,0.0002978768,0.0002701976,0.00003751953,0.0002050017],"domain_scores_gemma":[0.9995024,0.00008756068,0.0001502789,0.0001666268,0.00001207221,0.00008110837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006448005,0.0001648591,0.04657579,0.0001823574,0.000252721,0.00001500956,0.02447633,0.0003454216,0.001817937,0.07390508,0.846967,0.004652649],"study_design_scores_gemma":[0.002320583,0.0006465529,0.04373293,0.00005677675,0.00003405571,0.00001083662,0.00121246,0.003836946,0.002198601,0.005909404,0.9394211,0.0006198109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433599,0.007633348,0.0009652977,0.09604205,0.001998096,0.0008643332,0.0001041648,0.0001847663,0.04884809],"genre_scores_gemma":[0.9818432,0.001936854,0.00004797198,0.005476212,0.0004393309,0.00006172729,0.000006416317,0.00002536608,0.01016296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384833,"threshold_uncertainty_score":0.9980808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0736931769194561,"score_gpt":0.2379033963037842,"score_spread":0.1642102193843281,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}